Indoor inertial navigation algorithm based on posture recognition and step length model

A technology of inertial navigation and step size, applied in navigation calculation tools, navigation, surveying and mapping, etc., can solve the problems of low precision and large cumulative errors, and achieve the effects of improving positioning accuracy, strong adaptability, and avoiding gradual accumulation

Active Publication Date: 2017-05-24
BEIJING UNIV OF TECH
View PDF3 Cites 58 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The traditional inertial navigation algorithm relies on the integration of the acceleration and velocity of the sensor to calculate the movement distance. When applied to pedestrian indoor navigation, with the increase of pedestrian movement distance and the change of heading angle, the cumulative error is getting larger and the accuracy is not high.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Indoor inertial navigation algorithm based on posture recognition and step length model
  • Indoor inertial navigation algorithm based on posture recognition and step length model
  • Indoor inertial navigation algorithm based on posture recognition and step length model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0036] The present invention will be further described below in conjunction with accompanying drawings and examples. The overall flowchart of the system of the present invention is shown in figure 1 .

[0037] The present invention uses an inertial sensor that integrates the MPU6050 inertial module, the AK8963 magnetometer module, and the Bluetooth HC-06 module. The inertial sensor device is wirelessly connected to the Android smartphone through Bluetooth and transmits the pedestrian movement data measured by the sensor to the mobile phone in real time. At the same time, the acceleration sensor and electronic compass data built in the mobile phone are called to realize data storage, processing and navigation output in the smart phone. Pedestrians wear devices such as figure 2shown. The present invention aims at the problem that MEMS inertial sensor itself is not high in precision and drift error causes cumulative error in the result of inertial navigation solution algorith...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention provides an indoor inertial navigation algorithm based on posture recognition and a step length model and relates to the field of indoor inertial navigation and positioning. An inertial sensor is fixed on a foot of a pedestrian and data is transmitted to a smartphone by utilizing Bluetooth; the step frequency and the step number of the pedestrian are calculated by adopting a multi-condition and zero-speed detection method and a posture angle detection method according to posture characteristics of the foot when the pedestrian walks; an inertial navigation calculation result of each step of the pedestrian is counted and classified and the step length model is established; postures and the step frequency of the foot of the pedestrian are used as reference to calibrate the inertial navigation calculation result in real time; electronic compass data of a dynamic complement algorithm based on slide mean filter is used as a real-time course angle, and whether the pedestrian has an inertial and usual movement posture or not is judged according to changes of the step frequency and the course angle of the pedestrian; the step length model is matched by taking a judging result as the basis. The problems of an indoor positioning and inertial navigation technology that error accumulation is caused by double integration so that positioning is inaccurate and the like are solved, and the accuracy of indoor long-distance navigation of the pedestrian is guaranteed.

Description

Technical field: [0001] The invention relates to the field of indoor inertial navigation and positioning, in particular to an indoor inertial navigation technology for pedestrians based on pedestrian foot posture recognition and step size model realized by using inertial sensors and smart phones. Background technique: [0002] In an indoor environment, when the satellite signal reaches the ground, the signal is weak, cannot penetrate buildings, and cannot perform precise positioning. Inertial navigation is a technology that obtains the instantaneous velocity and position data of the carrier by measuring the acceleration of the carrier and performing an integral operation. The equipment that makes up the inertial navigation system is installed in the carrier. It does not rely on external information when working, does not radiate energy to the outside world, and is not easily disturbed. It is an autonomous navigation equipment. As an autonomous navigation technology, inertia...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G01C21/18G01C21/20
CPCG01C21/18G01C21/206
Inventor 张会清许潇民
Owner BEIJING UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products